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3,583 results for “elevations”
Hubbard Brook Experimental Forest: Hourly soil oxygen, moisture and temperature across soil depths and an elevation gradient in the Bear Brook watershed; 2018-2019
Denitrification is potentially a significant process of soil nitrogen removal from the Hubbard Brook Experimental Forest (HBEF) ecosystem. Its magnitude and variation can depend on physical conditions within the soil, particularly oxygen concentration, moisture, and temperature. This dataset contains continuous measurement of soil oxygen, moisture and temperature near the biogeochemical reference Watershed 6 at (HBEF). Data were collected from Campbell Scientific CR1000 dataloggers with sensors installed at 3 depths, each at a soil horizon transition and at an hourly time interval. The timeframe of the dataset is 1 year starting in July 2018 and ending in July 2019. These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station.
Sonadora elevational plots: long-term monitoring of air temperature
This is a long term monitoring of air temperature at each elevation plot along the Sonadora gradient. At each plot a HOBO sensor is located close to the middle of the plot: at 1m above ground: and placed inside a radiation shield (a plastic cup). Sensors are programmed to sample and store air temperature every hour. A daily average is computed from hourly readings. Sensors are downloaded twice a year: thus blanks represent sensor malfunction: loss of battery: or memory full. Initial blanks were due to lack of enough sensors to cover the gradient. Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.
Atmospheric deposition across a Colorado Front Range elevation transect, monthly, 2017-2018
In this dataset, we present seasonal dust fluxes and composition from a Colorado Front Range elevation transect of nine sites extending from the developed plains to the alpine wilderness. From the beginning of November 2017 through the end of November 2018, we collected monthly bulk deposition samples and analyzed them for dust mass fluxes, particulate matter chemistry, and liquid fraction chemistry. Niwot Ridge sites were in operation from June 2018 through September 2018 and are a critical component of this collaboration with the Boulder Creek Critical Zone Observatory, which funded the lower elevation sites. These dust deposition data address open questions about the spatial and temporal variability of dust fluxes and composition across complex mountainous terrain.
Elevation gradient plant species composition data for A1, B1, C1, D1, 1953 - 1996.
Plant species presence and abundance (Kooiman and Korb data) were recorded at four stands along an elevational gradient in the Front Range of Colorado. Each stand location was determined by Dr. John Marr. The Marr species data were recorded from at least 12 3ft x 3ft plots located in the corners of his 66ft x 66ft tree quadrats. Only species presence was recorded, not abundance. The Kooiman and Lindhart as well as the Korb data were collected from 50 85cm x 100cm plots which were systematically located within a sampling strip measuring 2m x 100m. Plots were located every two meters alternating left and right of the sampling strip. Species present in the strip but not in the plots were recorded by Kooiman as well as Korb. Species names in this data set are from Weber and Wittman 1996; the Marr and Kooiman datasets were updated using Weber and Wittman's list.
Marsh surface elevation data in fertilization plots of a Spartina alterniflora-dominated salt marsh at Goat Island, North Inlet, Georgetown, SC.
A Surface Elevation Table (SET) is used to measure changes in the elevation of the marsh platform in fertilization plots of a Spartina alterniflora-dominated marsh on the Goat Island, North Inlet, Georgetown, SC.
Digital Elevation Model - Ipswich Watershed - Idrisi Raster File.
This datalayer is part of a group of layers used for research in the Ipswich River Watershed. This is Digital Elevation Model data for the study area, in a 30-meter grid. The source elevation tile data was provided on the MassGIS website www.state.ma.us/mgis/massgis.htm in ESRI-format shapefile format and imported into IDRISI software using the ShapeIdr command. The resulting vector elevation files were converted to raster format using successive Lineras macro commands. This has the effect of mosaicing the tiles as well. The raster image was filtered once using a low-pass (mean) filter, then masked to the Ipswich study area parameters (extent). This datalayer was produced as part of a research project concerning the Ipswich River Watershed.
Biome Transition Along Elevational Gradients in New Mexico (SEON) AmeriFlux Data (2007- )
The varied topography and large elevation gradients that characterize the arid and semi-arid Southwest create a wide range of climatic conditions - and associated biomes - within relatively short distances. This creates an ideal experimental system in which to study the effects of climate on ecosystems. Such studies are critical givien that the Southwestern U.S. has already experienced changes in climate that have altered precipitation patterns (Mote et al. 2005), and stands to experience dramatic climate change in the coming decades (Seager et al. 2007; Ting et al. 2007). Climate models currently predict an imminent transition to a warmer, more arid climate in the Southwest (Seager et al. 2007; Ting et al. 2007). Thus, high elevation ecosystems, which currently experience relatively cool and mesic climates, will likely resemble their lower elevation counterparts, which experience a hotter and drier climate. In order to predict regional changes in carbon storage, hydrologic partitioning and water resources in response to these potential shifts, it is critical to understand how both temperature and soil moisture affect processes such as evaportranspiration (ET), total carbon uptake through gross primary production (GPP), ecosystem respiration (Reco), and net ecosystem exchange of carbon, water and energy across elevational gradients.We are using a sequence of six widespread biomes along an elevational gradient in New Mexico -- ranging from hot, arid ecosystems at low elevations to cool, mesic ecosystems at high elevation to test specific hypotheses related to how climatic controls over ecosystem processes change across this gradient. We have an eddy covariance tower and associated meteorological instruments in each biome which we are using to directly measure the exchange of carbon, water and energy between the ecosystem and the atmosphere. This gradient offers us a unique opportunity to test the interactive effects of temperature and soil moisture on ecosystem proce
Lidar digital elevation models and topographic change detection results from burned and unburned plots in the Sevilleta LTER.
These data were generated as part of a research project focused on montiroing sediment flux in dryland ecosystems following wildfire. In six separate small plots, three burned and three unburned, we conducted light detection and ranging (lidar) topographic surveys in 2016, 2017, and 2018 to document elevation changes and the volume of sediment deposition and erosion. At the down-wind edge of each plot, we used sediment catchers to trap sediment exiting the plots and thus estimate erosion volumes using in-situ equipment, which provided a secondary measurement of sediment efflux from all sites in addition to the lidar data. We used the geomorphic change detection software (https://gcd.riverscapes.xyz/) to produce maps of topographic change from the lidar digital elevation models for the 2016-2017 and 2017-2018 periods at all plots, burned and unburned. Results from this project may aid in understanding post-fire transport of sediment and nutrients from drylands following wildfire.
Elevations of Nine Marshes along the Virginia Coast, 2016-2019
Marsh elevation change was measured in nine sites through Global Positioning System (GPS) Real-Time Kinematic (RTK) surveys using Trimble R7 and R10.2 survey equipment. The data includes a table of processed results, plus raw RINEX inputs for the reference locations for each survey, along with OPUS (Online Positioning User Service) solution files for those reference locations. Additionally, ArcGIS data layers are provided both in a geodatabase and as individual shapefiles. Raw RTK surveys were adjusted based on the OPUS solutions for the fixed reference location associated with each survey. All elevations are relative to NAVD88 with GEOID12B and all horizontal locations use the WGS84 datum.
High-frequency observations of overwash water and bed elevations from five MeOw (Measuring Overwash) stations: Smith Island, VA, August-November 2019
Water and bed surface elevation measurements from five MeOw (Measuring Overwash) stations installed on Smith Island, VA, from 21 August 2019 to 22 November 2019. The five MeOw stations consist of one ultrasonic distance sensor inside a stilling well to measure water levels, and a second attached to an arm extending outwards from the well to measure the elevation of the sediment surface (when dry) or the water surface (when inundated). Note: Station MeOw2 was damaged and produced no data, and so is not included in this dataset.
Aerial view of part of the Bisti badlands from an elevation of approximately 8500 feet. Exposed here are the Upper Cretaceous Fruitland and Kirtland Formations. Photograph taken the morning of 13 April 1992. Copyright © Paul L. Sealey. 1992. in Stratigraphy, paleontology and age of the Fruitland and Kirtland Formations (upper Cretaceous), San Juan Basin, New Mexico
Aerial view of part of the Bisti badlands from an elevation of approximately 8500 feet. Exposed here are the Upper Cretaceous Fruitland and Kirtland Formations. Photograph taken the morning of 13 April 1992. Copyright © Paul L. Sealey. 1992.
Ice speed and elevation change rate of the Patagonian icefields
<p>These are the dataset of ice speed magnitude, error, number of valid velocity maps and elevation change rate of the Patagonian icefields (PIs) presented in the study. Please refer the main text for further technical information or directly ask the corresponding author.</p> <p>gererated April 2020, M. Minowa<br> updated Septempber 2020, M. Minowa</p> <p>===================================================================</p> <p>1. Annual velocity magnitude<br> File name: PIs_mag_utm18n_yyyy.tif<br> Format: geotiff<br> Coordinates: utm 18 North <br> No data value: -9999</p> <p><br> 2. Number of valid velocity maps<br> File name: PIs_cnt_utm18n_yyyy.tif<br> Format: geotiff<br> Coordinates: utm 18 North </p> <p><br> 3. Annual velocity error<br> File name: PIs_er_utm18n_yyyy.tif<br> Format: geotiff<br> Coordinates: utm 18 North <br> No data value: -9999 </p> <p>4. Elevation change rate map between 2000 and 2019<br> File name: PIs_dhdt_utm18s_2000-2019.tif<br> Format: Geotiff<br> Coordinates: utm 18 South<br> No data value: -9999</p> <p>5. Number of valid DEMs<br> File name: PIs_dhdt_cnt_utm18s_2000-2019.tif<br> Format: Geotiff<br> Coordinates: utm 18 South<br> No data value: -9999</p> <p>6. Systematic error map in the elevation change rate<br> File name: PIs_dhdt_mu_utm18s_2000-2019.tif<br> Format: Geotiff<br> Coordinates: utm 18 South<br> No data value: -9999</p> <p>7. Random error map in the elevation change rate<br> File name: PIs_dhdt_sigma_utm18s_2000-2019.tif<br> Format: Geotiff<br> Coordinates: utm 18 South<br> No data value: -9999<br> </p>
Elevation Models for Reproducible Evaluation of Terrain Representation – Archetypal Landforms – Crater Lake GeoTIFF
<p>An elevation model of Crater Lake, Oregon, USA</p> <p>Landform features: caldera, cinder cone, lava flow</p> <p>Resolution: 3.33 meter, 5,200 x 5,200 height samples</p> <p>File format: GeoTIFF</p> <p>This is one model of a set of elevation models: <a href="http://doi.org/10.5281/zenodo.3938020">https://doi.org/10.5281/zenodo.3938020</a>. Please cite the entire set of models.</p> <p>When using this elevation model in an academic publication, please cite the following article, which describes the process and rationale for compiling elevation models:</p> <p><em>Kennelly, P. J., Patterson, T., Jenny, B., Huffman, D. P., Marston, B. E., Bell, S. and Tait, A. M. (2021). Elevation models for reproducible evaluation of terrain representation. Cartography and Geographic Information Science, 48:1, 63–77. DOI: <a href="http://doi.org/10.1080/15230406.2020.1830856">10.1080/15230406.2020.1830856</a></em></p>
Elevation Models for Reproducible Evaluation of Terrain Representation – Multiscale Models – Valdez GeoTIFF
<p>Multiscale elevation models centered on Valdez, Alaska, USA</p> <p>Resolutions: 3.3, 7.5, 15, 30, 90, 250, 500, 1,000, and 2,000 meters, 1500 x 1,500 height samples each</p> <p>File format: GeoTIFF</p> <p>When using these elevation models in an academic publication, please cite the following article, which describes the process and rationale for compiling these models:</p> <p><em>Kennelly, P. J., Patterson, T., Jenny, B., Huffman, D. P., Marston, B. E., Bell, S. and Tait, A. M. (2021). Elevation models for reproducible evaluation of terrain representation. Cartography and Geographic Information Science, 48:1, 63–77. DOI: <a href="http://doi.org/10.1080/15230406.2020.1830856">10.1080/15230406.2020.1830856</a></em></p>
Elevation Models for Reproducible Evaluation of Terrain Representation – Archetypal Landforms – Great Sand Dunes GeoTIFF
<p>An elevation model of Great Sand Dunes, Colorado, USA</p> <p>Landform features: active dune field, sand sheet, sabkha</p> <p>Resolution: 3.3 meter, 5,300 x 5,300 height samples</p> <p>File format: GeoTIFF</p> <p>This is one model of a set of elevation models: <a href="https://doi.org/10.5281/zenodo.3938020">https://doi.org/10.5281/zenodo.3938020</a>. Please cite the entire set of models.</p> <p>When using this elevation model in an academic publication, please cite the following article, which describes the process and rationale for compiling elevation models:</p> <p><em>Kennelly, P. J., Patterson, T., Jenny, B., Huffman, D. P., Marston, B. E., Bell, S. and Tait, A. M. (2021). Elevation models for reproducible evaluation of terrain representation. Cartography and Geographic Information Science, 48:1, 63–77. DOI: <a href="http://doi.org/10.1080/15230406.2020.1830856">10.1080/15230406.2020.1830856</a></em></p>
Elevation Models for Reproducible Evaluation of Terrain Representation – Archetypal Landforms – Massanutten Mountain ASCII
<p>An elevation model of Massanutten Mountain, Virginia, USA</p> <p>Landform features: folded ridges, hogback, water gap, meander</p> <p>Resolution: 10 meter, 3,900 x 3,900 height samples</p> <p>File format: Esri ASCII grid</p> <p>This is one model of a set of elevation models: <a href="https://doi.org/10.5281/zenodo.3938020">https://doi.org/10.5281/zenodo.3938020</a>. Please cite the entire set of models.</p> <p>Version 2.0.0 replaced the previous erroneous elevation model of another geographic area.</p> <p>When using this elevation model in an academic publication, please cite the following article, which describes the process and rationale for compiling elevation models:</p> <p><em>Kennelly, P. J., Patterson, T., Jenny, B., Huffman, D. P., Marston, B. E., Bell, S. and Tait, A. M. (2021). Elevation models for reproducible evaluation of terrain representation. Cartography and Geographic Information Science, 48:1, 63–77. DOI: <a href="http://doi.org/10.1080/15230406.2020.1830856">10.1080/15230406.2020.1830856</a></em></p>
Data from: Occupancy patterns and upper range limits of lowland Bornean birds along an elevational gradient
<p>Aim: The traditional view of species' distributions is that they are less abundant near the edges of their ranges and more abundant toward the center. Testing this pattern is difficult because of the complexity of distributions across wide geographical areas. An alternative strategy, however, is to measure species' distributional patterns along elevational gradients. We applied this strategy to examine whether lowland forest birds are indeed less common near their upper range limits on a Bornean mountain, and tested co-occurrence patterns among species for potential causes of attenuation, including signatures of habitat selection and competition at the periphery of their ranges.</p> <p>Location: Mt. Mulu, Borneo</p> <p>Taxon: Rain forest birds Methods: We surveyed lowland forest birds on Mt. Mulu (2,376 m), classified their elevation-occupancy distributions using Huisman – Olff – Fresco (HOF) models, and examined co-occurrence patterns of species pairs for signatures of shared habitat patches and interspecific competition.</p> <p>Results: For 39 of 50 common species, occupancy was highest at sea level then gradually declined near their upper range edges, in keeping with a 'rare periphery' hypothesis. With respect to habitat selection, lowland species do not appear to cluster together at sites of patchy similar habitat near their upper range limits; neither are most lowland species segregated from potential montane competitors where ranges overlap.</p> <p>Main conclusions: High relative abundance at sea level implies that species inhabit 'truncated niches' and are not currently near the limits of their fundamental niche, unless unknown critical response thresholds exist. However, indirect effects of increasing temperature predicted under climate change scenarios could still influence lower range limits of lowland species indirectly by altering habitat, precipitation regimes, and competitive interactions. The lack of non-random co-occurrence patterns implies that patchy habitat and simple pairwise species interactions are unlikely to be responsible for upper range limits in most species; diffuse competition across diverse rain forest bird communities could still play a role.</p>
Data and code for: High light alongside elevated pCO2 alleviates thermal depression of photosynthesis in a hard coral (Pocillopora acuta)
<p>Data and R scripts of analyses performed for the manuscript "<strong>High light alongside elevated pCO<sub>2</sub> alleviates thermal depression of photosynthesis in a hard coral (<em>Pocillopora acuta</em>)</strong>"</p>
Age-related humerothoracic, scapulothoracic, and glenohumeral kinematics during elevation and rotation motions
<p>Age affects gross shoulder range of motion (ROM), but biomechanical changes over a lifetime are typically only characterized for the humerothoracic joint. Suitable age-related baselines for the scapulothoracic and glenohumeral contributions to humerothoracic motion are needed to advance understanding of shoulder injuries and pathology. Notably, biomechanical comparisons between younger or older populations may obscure detected differences in underlying shoulder motion. Kinematics derived from healthy subjects aged <35 years and >45 years using biplane fluoroscopy and skin-marker motion analysis quantified humerothoracic, scapulothoracic, and glenohumeral motion during 3 static poses (resting neutral, internal rotation to L4-L5, and internal rotation to maximum reach) and 2 dynamic activities (scapular plane abduction and external rotation in adduction). These data are available for download to aid researchers and clinicians in characterizing non-pathologic shoulder motion during common clinical ROM activities. </p>
Code and Data for: "Signs of local adaptation and phenotypic plastic response to elevation shifted between environmental backgrounds in Snapdragon plants"
<p>Code and data for manuscript: "Signs of local adaptation and phenotypic plastic response to elevation shifted between environmental backgrounds in Snapdragon plants"</p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.